[Retracted] M&A Short-Term Performance Based on Elman Neural Network Model: Evidence from 2006 to 2019 in China

Table 4

Advantages and disadvantages of the normality test method and the events failed.

Testing method	Characteristics	Individual stock	Market
Skewness test (mean)	Simple but not comprehensive, susceptible to extreme peak values	−0.0242	−0.8370
Kurtosis test (mean)	Simple but not comprehensive, susceptible to extreme peak values	4.6782	6.6067
J-B test	Susceptible to outliers based on skewness and kurtosis	493 (37.86%)	588 (45.16%)
χ2 goodness of fit test	First grouping and posttesting, suitable for category data, easy to make false errors	275 (21.12%)	302 (23.20%)
Lilliefors test	Suitable for the unknown overall parameter, applying the sample statistic instead of the overall parameter	376 (28.88%)	588 (45.16%)
K-S test	Suitable for continuous quantitative data with units of measurement and test of full observation points	11 (1.90%)	14 (1.08%)